CBravoR/AdvancedAnalyticsLabs
Analytics labs notebooks for Statistics and Business School students
Covers practical credit risk modeling workflows—from Weight of Evidence transformations and logistic regression scorecards to ensemble methods (Random Forest, XGBoost) with Shapley value explainability—alongside foundational topics in revenue management, Basel regulation, and bond pricing. Built on Jupyter notebooks with scikit-learn, XGBoost, and Polars, handling larger-than-memory datasets via SGD and streaming. Includes PD/LGD calibration using the Vasicek model and integrates SQLAlchemy for database connectivity.
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33
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16
Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Mar 08, 2026
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